Objective
To develop and evaluate the components of a modelling system to forecast floods in rivers draining steep mountainous catchments into flat plains where they flood large urban areas. Traditional flood warning systems are inadequate because of the fast response time of the catchments. Accurate forecasts of precipitation are essential for successful flood warnings. The proposed system will consist of a high-resolution limited area meteorological model together with a hydrological catchment model and an hydraulic channel network model. All of these models exist separately and are available to the proposers. However the refinement and integration of all of them into a flood forecasting system has not yet been done for steep mountainous catchments.
To investigate the factors affecting the accuracy and reliability of flooding forecasts from such a system and to determine the nature of the trade-off between forecast lead-time, spatial resolution and forecast accuracy.
The project will:
develop adequate parametrisation schemes in limited area high resolution atmosphere models for clouds and
precipitation, which are as independent as possible from grid resolution.
investigate the sensitivity of the resulting high resolution limited area meteorological models to (i) orography
steepness, and (ii) the formulation of the horizontal diffusion.
determine the spatial resolution required in a meteorological model for precipitation forecasts accuracy of the
precipitation forecasts.
determine the most appropriate type and complexity of catchment model and channel network model required
for (i) adequate discharge forecasts and (ii) for adequate flood warnings?
establish the effect of backwater from a tidal estuary on water levels where appropriate.
choose the most appropriate algorithm for triggering high resolution modelling?
The work will progress European modelling and forecasting abilities to the point where floods in steep
catchments can be forecast and will quantify the performance to be expected from these methods.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software software applications simulation software
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
2 Dublin
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.